Tools for managing network traffic flows: A comparative analysis
| UDC.coleccion | Investigación | |
| UDC.conferenceTitle | 2017 IEEE 16th International Symposium on Network Computing and Applications (NCA) | |
| UDC.departamento | Ciencias da Computación e Tecnoloxías da Información | |
| UDC.grupoInv | Telemática | |
| dc.contributor.author | Fernández, Diego | |
| dc.contributor.author | Lorenzo, Hugo | |
| dc.contributor.author | Nóvoa, Francisco | |
| dc.contributor.author | Cacheda, Fidel | |
| dc.contributor.author | Carneiro, Víctor | |
| dc.date.accessioned | 2026-03-26T15:46:07Z | |
| dc.date.available | 2026-03-26T15:46:07Z | |
| dc.date.issued | 2017-12-11 | |
| dc.description | The conference was held in Cambridge, MA, USA, from 30 October to 1 November 2017 | |
| dc.description.abstract | [Abstract]: Over the years the number of elements in a corporate network, the services and the amount of traffic have grown significantly. For this reason, it is increasingly important to analyze the traffic. Packet-based analysis is the traditional option but entails a high resources consumption. In order to palliate this, flow-based analysis arises. It usually implies to deploy a flow exporter, responsible of generating the flows from the network packets, and a flow collector, in charge of receiving, storing and preprocessing the exported flows. This paper provides a study on flow exporters and collectors. To the best of our knowledge, there is little work dealing with the resources consumed by this kind of tools. Specifically, available memory, CPU load and volume of traffic have been monitored. Using a well-known dataset, packets have been sent to exporters and collectors in order to observe how they behave. | |
| dc.description.sponsorship | This research was supported by the Ministry of Economy and Competitiveness of Spain (Project TIN2015-70648-P) | |
| dc.identifier.citation | D. Fernandez, H. Lorenzo, F. J. Novoa, F. Cacheda, y V. Carneiro, «Tools for managing network traffic flows: A comparative analysis», en 2017 IEEE 16th International Symposium on Network Computing and Applications (NCA), Cambridge, MA: IEEE, oct. 2017, pp. 1-5. doi: 10.1109/NCA.2017.8171373 | |
| dc.identifier.doi | 10.1109/NCA.2017.8171373 | |
| dc.identifier.uri | https://hdl.handle.net/2183/47823 | |
| dc.language.iso | eng | |
| dc.publisher | IEEE | |
| dc.relation.projectID | info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2015-70648-P/ES/TECNICAS DE INTELIGENCIA COLECTIVA PARA LA GESTION DE AMENAZAS EN REDES Y SISTEMAS T | |
| dc.relation.uri | https://doi.org/10.1109/NCA.2017.8171373 | |
| dc.rights | Copyright © 2017, IEEE | |
| dc.rights.accessRights | open access | |
| dc.subject | Computer network management | |
| dc.subject | IP networks | |
| dc.subject | Monitoring | |
| dc.title | Tools for managing network traffic flows: A comparative analysis | |
| dc.type | conference output | |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 9b9fbda3-512a-4143-986b-c7b60305e041 | |
| relation.isAuthorOfPublication | 6f38fb90-68db-4d7c-89e0-8cff7f9d673c | |
| relation.isAuthorOfPublication | 63253cd0-b4ea-402a-b158-84417c75846a | |
| relation.isAuthorOfPublication | 652c136c-eea5-4a78-947c-538b1c99f81b | |
| relation.isAuthorOfPublication.latestForDiscovery | 9b9fbda3-512a-4143-986b-c7b60305e041 |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- Fernandez_Diego_2017_Tools_for_managing.pdf
- Size:
- 697.72 KB
- Format:
- Adobe Portable Document Format

